Monthly and spatially resolved black carbon emission inventory of India: 2011

Black carbon (BC) emissions from India for the year 2011 are estimated to be 901.11 ± 151.56 Gg/yr based on a new ground-up, GIS-based inventory. The grid-based, spatially resolved emission inventory includes, in addition to conventional sources, emissions from kerosene lamps, forest fires, diesel-powered irrigation pumps and electricity generators at mobile towers. The emissions have been estimated at district level and were spatially distributed onto grids at a resolution of 40 × 40 km**2. The uncertainty in emissions has been estimated using a Monte Carlo simulation by considering the variability in activity data and emission factors. Monthly variation of BC emissions has also been estimated to account for the seasonal variability. To the total BC emissions, domestic fuels contributed most significantly (47 %), followed by industry (22 %), transport (17 %), open burning (12 %) and others (2 %). The spatial and seasonal resolution of the inventory will be useful for modeling BC transport in the atmosphere for air quality, global warming and other process-level studies that require greater temporal resolution than traditional inventories.

基于一项全新的自下而上、基于地理信息系统（Geographic Information System，GIS）的排放清单，2011年印度的黑碳（Black Carbon，BC）排放量估算值为901.11±151.56 Gg/年。这份基于网格的空间分辨排放清单，除常规排放源外，还涵盖了煤油灯、森林火灾、柴油灌溉泵以及移动基站发电机的排放量。该排放量以行政区为单位进行估算，并以40×40平方千米的分辨率空间分配至网格单元中。研究通过考虑活动数据与排放因子的变异性，采用蒙特卡洛（Monte Carlo）模拟方法估算了排放量的不确定性。同时还估算了黑碳排放量的月度变化特征，以反映季节变异性。在印度总黑碳排放量中，生活燃料贡献占比最高（47%），其次为工业源（22%）、交通源（17%）、露天焚烧源（12%）及其他源（2%）。该清单具备的空间与季节分辨率，可用于开展大气中黑碳传输的模拟研究，服务于空气质量、全球变暖及其他相较于传统排放清单需要更高时间分辨率的过程级研究。